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detection and management, such as code exposure, coverage, and secure patching/update architectures as part of DevSecOps processes; Validating mission data system software interfaces and service-specific
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: PhD in biology, physiology, biomedical engineering, or a related field. Demonstrated skill in handling mouse and rat pups, small animal procedures, and in vivo imaging. Familiarity with cardiac
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data and clinical information. Applicants must hold (or be close to completing) a PhD in a relevant field and have expertise in modern computer vision and AI research. Experience with biomedical data
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity with an aim
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In order to be considered for the position, applicants must have research qualifications at least corresponding to what can be achieved as part of a successfully completed PhD within a relevant field
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to improve our understanding of fundamental processes relevant to combustion engines, gas turbines, and fire safety. The successful candidate will join a dynamic and diverse research group with an extensive
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. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Statement of experience with scientific coding/development of numerical methods and
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take place in the week of September 1. Expected starting date is mid-October, 2025. Screening is part of the selection procedure. Applications should include the following documents: A video (2-minute max
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project, “Mathcrete”, and offers a unique opportunity to collaborate closely with another Postdoc specializing in 3D nano image reconstruction and modelling tools development, as well as other PhDs and